Abstract: Embodiments described herein provide systems and methods for a customized search platform that provides users control and transparency in their searches. The system may use a ranker and parser to utilize input data and contextual information to identify search applications, sort the search applications, and present search results via user-engageable elements. The system may also use input from a user to personalize and update search results based on a user's interaction with user-engageable elements.

Abstract: Embodiments described herein provide systems and methods for a customized search platform that provides users control and transparency in their searches. The system may use a ranker and parser to utilize input data and contextual information to identify search applications, sort the search applications, and present search results via user-engageable elements. The system may also use input from a user to personalize and update search results based on a user's interaction with user-engageable elements.

Abstract: Apparatuses, systems, and techniques to facilitate generation of one medical image from another medical image using one or more neural networks trained using a generative adversarial network (GAN) that utilizes a bidirectional encoder representations from transformers (BERT) as a discriminator. In at least one embodiment, one or more neural networks trained using a GAN comprising a BERT discriminator generate a positron emission tomography (PET) image from a magnetic resonance imaging (MRI) image.